1. ERCOT Public 1 Multi-Interval Real-Time Market Plan for Proposed Study Process

2. ERCOT Public 2 MIRTM – Plan for Proposed Study Process Stakeholders requested ERCOT to conduct studies to assess the proposed MIRTM with regard to the following: a)Forecast accuracy b)Commitment accuracy i.e. compare magnitude of make-whole payments for unnecessary commitment of Demand Resources versus benefit of correct commitment of Demand Resources The plan to accomplish this has the following components: a)New model/algorithm for short term load forecasting b)Prototype MIRTM tool based on software changes to current Indicative Pricing Tool that will allow capability to commit Demand Resources c)Demand Resource bids used in study compiled from survey results d)ERCOT staff conducting studies, analyzing results and compiling reports to be presented to stakeholders

3. ERCOT Public 3 MIRTM – Plan for Proposed Study Process a)New model/algorithm for short term load forecasting i.New model/algorithm moved into production environment for 8 weather zones ii.Begin tuning the models to optimize performance over the next 4-6 weeks iii.Report accuracy of the new models versus current Short Term Load Forecast (ERCOT wide basis) – after models tuned b)Software changes to current Indicative Pricing Tool i.Set Study Period to be 30 minutes ii.Use telemetered ramp rates for entire study period (30 minutes) iii.Add functionality to enable commitment of Demand Resources based on bids that contain 1.Single Part Offer/Bid – no startup or minimum energy costs modeled 2.Ramp Period or Notification time 3.Minimum Curtailment time 4.Maximum Curtailment time 5.Return to service time

4. ERCOT Public 4 MIRTM – Plan for Proposed Study Process c)Demand Resource bids from survey i.ERCOT has received numerous examples of Demand Resource bids d)ERCOT staff conducting studies, analyzing results and compiling reports i.Periodically review recent history of Real-Time prices and select periods of interest a)e.g. operating near the knee or the steep part of the aggregated EOC ii.Retrieve Production Indicative Pricing Tool savecases for the period of interest iii.Run the prototype MIRTM tool in offline environment using the Indicative Pricing Tool savecases a)In the savecase, swap out Short Term Load Forecast with the output from the new model b)Include Demand Resource bids iv.Evaluate/analyze results and determine cost/benefit